Generalizing Bayesian optimization with decision-theoretic entropies
Bayesian optimization (BO) is a popular method for efficiently inferring optima of an
expensive black-box function via a sequence of queries. Existing information-theoretic BO …
expensive black-box function via a sequence of queries. Existing information-theoretic BO …
[图书][B] Uncertainty and Information for Machine Learning Powered Decision-Making
S Zhao - 2022 - search.proquest.com
Abstract Machine learning (ML) is undergoing a paradigm shift---ML models are increasingly
being provided as a service to automate a variety of downstream decisions rather than being …
being provided as a service to automate a variety of downstream decisions rather than being …
[图书][B] Data-Driven Sequential Decision Making with Deep Probabilistic Modeling
L Yu - 2022 - search.proquest.com
A central ability of intelligent agents is learning by interacting with the surrounding
environment. Bayesian optimization (BO) and reinforcement learning (RL) provide …
environment. Bayesian optimization (BO) and reinforcement learning (RL) provide …